Open AccessUse of a Modified SIRD Model to Analyze COVID-19 Data
Author(s) -
Devosmita Sen,
Debasis Sen
Publication year - 2021
Publication title -
industrial and engineering chemistry research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.878
H-Index - 221
eISSN - 1520-5045
pISSN - 0888-5885
DOI - 10.1021/acs.iecr.0c04754
Subject(s) - pandemic , covid-19 , outbreak , coronavirus , population , econometrics , geography , virology , demography , biology , mathematics , infectious disease (medical specialty) , medicine , sociology , disease , pathology
Since the starting of the year 2020, the whole world is facing a challenge due to an outbreak of an unprecedented COVID-19 pandemic owing to a novel coronavirus. Here, a modified susceptible-infected-recovered-dead model has been used to analyze the time series data of the pandemic for five countries. It is established that the present model is capable of simultaneously explaining the temporal evolution of active-infected, recovered, and dead population of all these five countries. The key parameters governing the temporal evolution of the spread of this pandemic are estimated and compared.